A Feature-Centric View of Information Retrieval

• Main Author: Metzler, Donald (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011.
• Series: The Information Retrieval Series, 27
• Subjects: Computer science.; Mathematical statistics.; Information storage and retrieval.; Computer science > Mathematics.; Computer mathematics.; Computer Science.; Information Storage and Retrieval.; Probability and Statistics in Computer Science.; Mathematical Applications in Computer Science.

Commercial Web search engines such as Google, Yahoo, and Bing are used every day by millions of people across the globe. With their ever-growing refinement and usage, it has become increasingly difficult for academic researchers to keep up with the collection sizes and other critical research issues...

Table of Contents:

• Introduction
• Classical Retrieval Models
• Feature-Based Ranking
• Feature-Based Query Expanion
• Query-Dependent Feature Weighting
• Model Learning.